3. Artificial Intelligence
Types Of Artificial
Intelligence
AI has its roots in computer science and
mathematics but also draws from philosophy,
psychology, and neuroscience. The field has
been evolving since the 1950s and has
experienced many ups and downs, with periods
of intense research followed by periods of
reduced interest.
7. Artificial Intelligence
Neural
Networks
Neural networks are a type of
machine learning algorithm
that is inspired by the
structure and function of the
human brain. They are made up
of interconnected nodes that
process information and learn
from examples.
8. Artificial Intelligence
Robotics and automation are two areas where AI has
made significant progress. This topic covers the
use of AI in robotics and automation, including
the development of autonomous vehicles, drones,
and manufacturing robots.
Robotics And
Automation
9. Artificial Intelligence
Expert systems are AI-based
computer programs that can make
decisions like humans. This topic
covers the basic concepts of
expert systems and how they are
used in decision making.
Expert Systems And
Decision Making
10. Artificial Intelligence
Computer Vision
And Image
Processing
Computer vision is the ability of computers to interpret
and understand visual information from the world around
them. This topic covers the basic concepts of computer
vision and image processing, including object
recognition, facial recognition, and image
classification.
13. Artificial Intelligence
Ethics And Implications
Of Artificial
Intelligence
As AI becomes more advanced, it raises significant
ethical and societal implications. This topic
covers the ethical considerations of AI
development and how it can affect society.
15. Artificial Intelligence
AI would improvise the
success rate and
effectiveness of respective
drug evolution and quicken
the process of introducing
new drugs in the market to
counter these deadly
diseases
16. Artificial Intelligence
Challenges and
Limitations of Artificial
Intelligence
Despite its many benefits, AI faces
several challenges and limitations. This
topic covers the major challenges of AI
development, such as data privacy and
bias, and its limitations.